Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Yukteshwar Baranwal"'
Autor:
Yukteshwar Baranwal, Andrés D. Román-Ospino, Jingzhe Li, Sonia M. Razavi, Fernando J. Muzzio, Rohit Ramachandran
Publikováno v:
International journal of pharmaceutics. 615
Process analytical technology in the pharmaceutical industry requires the monitoring of critical quality attributes (CQA) through calibrated models. However, the development, implementation, and maintenance of these quantitative models are both resou
Autor:
Golshid Keyvan, Eon-Pyo Hong, Andrés D. Román-Ospino, Yukteshwar Baranwal, Jung Myung Ha, Fernando J. Muzzio, Rohit Ramachandran
Publikováno v:
International Journal of Pharmaceutics. 565:419-436
This study describes how near infrared (NIR) spectroscopy can be used to predict the dissolution of bilayer tablets as a non-destructive approach. Tablets in this study consist of two active pharmaceutical ingredients (APIs) physically separated in l
Autor:
Douglas B. Hausner, Fernando J. Muzzio, Simon T. Bate, Benoît Igne, Davinia Brouckaert, Rohit Ramachandran, Jenny Vargas, Fabien Chauchard, Yukteshwar Baranwal, Andrés D. Román-Ospino, Ravendra Singh, Jingzhe Li
Publikováno v:
International journal of pharmaceutics. 602
In-line measurements of low dose blends in the feed frame of a tablet press were performed for API concentration levels as low as 0.10% w/w. The proposed methodology utilizes the advanced sampling capabilities of a Spatially Resolved Near-Infrared (S
Publikováno v:
International journal of pharmaceutics. 599
Capping is the frequently observed mechanical defect in tablets arising from the sub-optimal selection of the formulation composition and their robustness of response toward process parameters. Hence, overcoming capping propensity based on the unders
Autor:
Franklin E. Bettencourt, Rohit Ramachandran, Ioannis Paraskevakos, Anik Chaturbedi, Chaitanya Sampat, Marianthi G. Ierapetritou, Shantenu Jha, Yukteshwar Baranwal, Subhodh Karkala
Publikováno v:
Computers & Chemical Engineering. 119:128-142
The accurate modeling of the physics underlying particulate processes is complicated and requires significant computational capabilities to solve using particle-based models. In this work, a unidirectional multi-scale approach was used to model the h
Autor:
Andrés D. Román-Ospino, Fernando J. Muzzio, Rohit Ramachandran, Shashwat Gupta, Yukteshwar Baranwal, Douglas B. Hausner
Publikováno v:
Journal of Pharmaceutical and Biomedical Analysis. 205:114305
Raman chemical mapping is an inherently slow analysis tool. Accurate and robust multivariate analysis algorithms, which require least amount of time and effort in method development are desirable. Calibration-free regression and resolution approaches
Publikováno v:
Computers & Chemical Engineering. 140:106935
The solution of high-dimensional PBMs using CPUs are often computationally intractable. This study focuses on the development of a scalable algorithm to parallelize the nested loops inside the PBM via a GPU framework. The developed PBM is unique sinc
Autor:
Rohit Ramachandran, Shantenu Jha, Marianthi G. Ierapetritou, Chaitanya Sampat, Ioannis Paraskevakos, Yukteshwar Baranwal
A multiscale model combines the computational efficiency of a macro-scale model and the accuracy of a micro-scale model. With the current cyberinfrastructure resources available, using more computationally intensive and concurrent multiscale models a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c539974ce567f25b5dc4c75e3b8bb81b
https://doi.org/10.1016/b978-0-444-64241-7.50238-x
https://doi.org/10.1016/b978-0-444-64241-7.50238-x
For several systems of interest, inputs to the system may be unknown. Thus, one may be interested in estimating the unknown inputs alongwith the states. In this work, we modify the approach proposed by Madapusi and Bernstein (2007) for estimating the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba29e34e14705bb50778a51e375b7730
https://doi.org/10.1016/b978-0-444-63577-8.50104-2
https://doi.org/10.1016/b978-0-444-63577-8.50104-2